Triple

T5276981
Position Surface form Disambiguated ID Type / Status
Subject Wolverine E119393 entity
Predicate realName P9233 FINISHED
Object James Howlett E119393 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: James Howlett | Statement: [Wolverine, realName, James Howlett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Howlett
Context triple: [Wolverine, realName, James Howlett]
  • A. Wolverine
    Wolverine is a higher-speed Amtrak passenger train service that operates multiple daily routes between Chicago, Detroit, and Pontiac in the Midwestern United States.
  • B. Wolverine chosen
    Wolverine is a popular Marvel Comics mutant superhero known for his retractable adamantium claws, accelerated healing factor, and membership in the X-Men.
  • C. Wolverine Wildcat
    Wolverine Wildcat is a classic wooden roller coaster located at the Michigan’s Adventure amusement park in Muskegon, Michigan.
  • D. Magneto
    Magneto is a powerful Marvel Comics supervillain and occasional antihero, known as a mutant with magnetic abilities and a complex ideological rivalry with the X-Men.
  • E. Hank McCoy / Beast
    Hank McCoy, also known as Beast, is a brilliant mutant scientist and founding member of the X-Men distinguished by his blue fur, superhuman agility, and intellectual prowess.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd446d05a8819092ad333a3f9c8d5c completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd8472bee08190a42d8f4714965d95 completed March 20, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf10d839dc8190a9f63740c6bd31a0 completed March 21, 2026, 9:42 p.m.
Created at: March 20, 2026, 1:51 p.m.